MetaGym: environments for benchmarking Reinforcement Learning and Meta Reinforcement Learning


Keywords
gym-environments, lift, maze, meta-learning, navigator, quadrotor, quadrupedal-robots, reinforcement-learning
License
GPL-3.0
Install
pip install metagym==0.1.1.dev1

Documentation

MetaGym

MetaGym provides abundant environments for benchmarking Reinforcement Learning and Meta Reinforcement Learning

Environments Updating

  • LiftSim:Simulator for Evelvator Dispatching (Sep, 2019)

  • Quadrotor: 3D Quadrotor simulator for different tasks (Mar, 2020)

  • Quadrupedal: Quadrupedal robot adapting to different terrains (Seq, 2021)

  • MetaMaze: 2D/3D maze generators for task generalization (Oct, 2021)

  • MetaLocomotion: Locomotion simulator with diverse geometries (June, 2022)

  • MetaLM: Meta language model dataset (Dec, 2022)

  • Bandits: Bandits task generalization (Dec, 2022)